Abstract

The study of social norms sprawls across all of the social sciences but the the concept lacks a unified conception and formal theory. We synthesize an account that can be applied generally, at the social scale of analysis, and can be applied to empirical evidence generated in field and lab experiments. More specifically, we provide new analysis on representing norms for application in empirical political science, and in parts of economics that do not follow the recent trend among some behavioral economists to build models of the cognitive and motivational states of individuals taken “one at a time”. Foundational sources for our project are Bicchieri (2006, 2017), Kuran (1995), and Stirling (2012, 2016). From Bicchieri take that a norm exists in a social structure when a significant networked subset of individuals share descriptive and injunctive expectations that it regulates their interactions. From Kuran we take the insight that prevailing norms may come to be widely disliked by participants in networks but survive because norm suppress public displays of disenchantment. From Stirling we apply conditional game theory (CGT) to provide the technical resources for building our model of a norm-regulated social interaction. The example we use is a multi-player Investment/Trust Game.